Solved

I have got postman connected to the publicdata project using the details below:Environmenttenant-id: 48d5043c-cf70-4c49-881c-c638f5796997 baseUrl: https://api.cognitedata.com project: publicdata cluster: apiAuth token:callbackUrl: https://postman.cogniteapp.com/loggedin authUrl: https://login.microsoftonline.com/{{tenant-id}}/oauth2/v2.0/authorize clientId: https://postman.cogniteapp.com Scope: https://{{cluster}}.cognitedata.com/.defaultI sign in with the credentials I used to sign up in the Cognite Academy, which I understand means they are added to the Azure AD for the publicdata project.I can access some of the api endpoints via Postman so the authentication is working but I get a 403 unauthorised when I try to list all Assets. Am I meant to be able to see the assets in Postman with this setup? Thanks in advance, Andy

Across multiple javascript projects, we use the @cognite/sdk. We observe some strange behaviour when it comes to authentication and see the Chrome network panel full of HTTP 401 calls. When debugging the issue, we see that the getToken method supplied to the CogniteClient class only gets called some times. And when it does, the code on our part successfully retrieves a valid token. This leads to some unwanted behaviour and the user sometimes needs to refresh the browser in order to correct the browser state.I suspect the fact that we make a new instance of CogniteClient everytime we use it could be the culprit. I read from the source code baseCogniteClient.ts that the getToken function is not called each time in order to “To prevent calling `getToken` method multiple times in parallel”. Not that I am really able to follow this behaviour over multiple instances of the client.Any pointers as to what might cause this problem?const getToken = async () => {  // this code only hits some t

Hello Cognite experts, I trying to find our some reference material to explore regarding integrating data from RTSP in Cognite. Are there any workflows/POC/documentation/examples available for this data source? 

Hello,Is it possible to host a pickle file (which contains a ML model) in CDF and use it to make predictions for the available data in the platform?If yes, what are the steps ? I browsed the documentation but I haven’t found anything relevant

Hey Guys, I would like to know when will be possible download the Canvas Page.

Hey.I am trying to set up a monitoring job in Cognite Charts, with notifications sent to an Microsoft Teams Channel Email. It looks like the email would not be recognized as an valid email.I got this error: “You should select a user or write a valid email address”The email format is xxxx..onmicrosoft.com@emea.teams.ms Any suggestions on how to resolve this?

Hello everyone.I was testing the offline mode on Infield and got an odd behavior using an iPad, with Safari: when I get offline, I am not able to select any field to insert values nor click any buttons. It is only possible when I am back online.  Is this how it is supposed to work?I have a video but could not attach here,Thank you in advance.

Is there currently a best practice for adding a geographical location to an object in a data model?I’ve considered simply using a string property to my model containing wkt-formatted strings, or a GeoSpatial feature external id, but none of them seem ideal. I assume there is a size limit on strings - so that wkt might be a bad choice? We’ve previously discussed this for timeseries, where you mentioned that data model geolocation was on the roadmap. Any update on this? 😊 

In the image above, Target data model in document is mentioned as CDF resource types, and in the image below its Asset Hierarchy.  Same thing for resource type.Can you please check.

Hi,I am using Time zone and Calander granularity function (Release timezone and calendar features in DatapointsAPI (beta) by haakonvt · Pull Request #1779 · cognitedata/cognite-sdk-python · GitHub)I am facing an issue wherein I am passing following datadps_lst = client.time_series.data.retrieve_dataframe_in_tz(   external_id=list,   start=datetime(2023, 6, 24, tzinfo=ZoneInfo("America/New_York")),   end=datetime(2024, 6, 27, tzinfo=ZoneInfo("America/New_York")),   aggregates="average",   granularity="1month") For the End date time is given as 27th June 2024; while I am expecting to get a calculation from 1st June- 27th June; I am receiving an output from 1st June- 30th June. the functionality is not considering “end” date while calculating.  

Hi, we are using Cognite PI Extractor and in PI we have time series where there in some cases are only nano seconds between each datapoint. Since CDF use epoch milliseonds how will the extreactor handle such cases? 

Hello,Is there a way to round timestamps of the incoming OPC UA tags to second within the configuration file? I have gone through the documentation but haven't found anything like that. The problem is that for some tags coming from an OPC UA server I make some simple transformations and these tags are coming to CDF with timestamps at ms, whereas the other tags for which I do not apply any transformation on server side, are coming with timestamp at second. The issue I encounter is when I push the data from CDF to PowerBI and pivot the data and I get 2 rows for the same timestamp which PowerBI is displaying at second, 1 row with values for the tags without transformations and the other with the tags transformed which have timestamp in ms on CDF side. I just don't want to apply another query/transformation step to round the timestamp at second on PowerBI side and on CDF this timestamp rounding should be a scheduled transformation running every minute if not every second. Regards,Raluca

Hi Team,I was looking for any limitations to length or any other limitations for Json data type for properties in the data model but was unable to find it in the documentation.Do we have any limitations? If yes, we would want to know. We are planning to use the json data type in the model to store values for an ongoing project as part of our solution.Thanks,Akash@Aditya Kotiyal 

Hi there,Could you confirm if there is a limit on number of tables allowed within single databaseor is there any limit of tables or database per project ?

Hi,Our project uses Cognite Function scheduling to deploy data to CDF, and we struggle to understand what the “Duration” of a Cognite Function actually represents. I have attached a screenshot showing one of our function calls, printing the duration of various function from our source code. As you see the duration of our source code takes 2+ minutes, but the call of the function itself takes less than 2 minutes (start at 7:40 and end at 7:41). Is there a distinction here between what is actually run in the backend, and overhead in terms of instantiating a call to the Cognite Function? Can anyone explain the apparent deviations? Thanks.  

I have created 1 workflow , in which I am creating dynamic tasks depending on input, it creates batch of ids and create tasks out of it. Below is workflow definitionWorkflowVersionUpsert(   workflow_external_id="test_dynamic-0729",   version="1",   workflow_definition=WorkflowDefinitionUpsert(       description="This workflow has two steps",       tasks=[           WorkflowTask(                external_id="test_sub_tasks",                parameters=FunctionTaskParameters(                    external_id="test_sub_tasks",                    data="${workflow.input}"                ),                retries=1,                timeout=3600,                depends_on=[],                on_failure = "abortWorkflow",            ),           WorkflowTask(                external_id="test_create_sub",                parameters=DynamicTaskParameters(                    tasks="${test_sub_tasks.output.response.tasks}"                ),                name="Dynamic Task",                description="

Is it possible to increase the limit on execution of workflow instances per project or limit on execution workflow instance itself instead of project ? as we require to schedule workflow, on that it depends how much data we get to run workflows instances, so it can be more than 50  

Hello Currently Maintain workorder has been displayed in infield under work order. My understanding is we plan the activities in maintain and the plan get visible in Infield via work order. What is the relationship between activities in maintain as compared to checklist in infield. I am imaging that once we plan activities in maintain, we should be capable to “convert” the activities into checklist in infield?  

Hi,Lately, the “Open in Charts” button in Fusion changed behaviour. It used to open the specific time series in a new chart, while now, the Charts home screen is opened without pointing to the specific time series. Is this intended behaviour? 

I created a process monitoring job several weeks ago and it seems to work as expected showing me the folder I created and alerts were delivered to my inbox. After 2 Recent attempts to create monitoring jobs, the UI stated the job was created but I’m not seeing the new folder nor am I receiving alert emails or seeing indications under the alerts tab in Charts. 

A fictitious example, but one that reproduces my problem, is the following code: for event_list in client.events(chunk_size = 500_000, data_set_ids = ids_sites):        events = event_list.to_pandas() Error message after just over an hour: CogniteAPIError: Unauthorized | code: 401 | X-Request-ID: 9c8702fc-59bf-9f7a-be47-4876d6b433f3 In fact, if I iterate in another way (for example, filtering by date), I can run code for more than 8 hours (for as long as I want, actually, because I re-authenticate between iterations, preventing the token from expiring). However, I don't want to filter by date because it doesn't provide consistent data volume like iterating by chunks.And apparently, I can't authenticate between iterations in the example I provided here, as it seems the chunk persists the initial authentication, which initially makes sense. Does anyone know how to solve this?   

I am analyzing multiple tags with same Engineering Unit. The charts are getting overlapped even after Stacking feature is ON.   

Hi,I need to use a custom python library from a private repository in Cognite Function  I have referred the following document - https://docs.cognite.com/de/cdf/functions/ In requirements.txt have added --index-url with the basic HTTPS authentication referring private repository URL with credentials.However when I am deploying the functions its not deploying and failing with the following error: Function Id 3485252813249865 Note: I have tested this locally its running fineCould you please help with this?

type Relationship @edge @view(space: "space-name", version: "1_1"){    relationName: String!,    relationType: RelationType,    startTime: Timestamp,    endTime: Timestamp} is there any library developed by cognite which will validate above kind of graphQL syntax also is it possible to check the values provided in graphQL ?

What is the process involved in building the contextualized Industrial Knowledge Graph?  Are we referring to  creation of a  GraphQL schema for a usecase and query data using GraphQL?Is there any training link to lean more about Industrial Knowledge Graph?How can I visualize the GraphQL query output (nodes & edges) as shown in many Cognite documents?